首页|Detailed comparative analysis of diabetes mellitus prediction using machine learning models
Detailed comparative analysis of diabetes mellitus prediction using machine learning models
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
Today, millions of people are suffering from diabetes which contributes to many other lethal diseases i.e., heart, kidney, and nerve damage. Diabetes mellitus is a chronic disease characterised by the body's inability to metabolise glucose, which could be life-threatening. Thus, several researchers have attempted to construct an accurate diabetes predictive model over the years. Big data analytics has played a vital role in healthcare by building predictive models for diabetes mellitus using various machine learning techniques. A large amount of data is collected which opened the opportunity to develop more complex, accurate predictions of the model. This paper aims to discuss various machine learning models to predict diabetes mellitus more accurately over the years. We have conducted a thorough review of the literature on predicting diabetes using PIMA and other datasets, which demonstrates how various machine-learning algorithms can be used to predict diabetes.
diabetes mellitusDiabMpredictive modelbig data analyticsmachine learning modelhypoglycaemia
Arshiya Begum、Sreenivasa Reddy
展开 >
Computer Science and Engineering Department, Acharya Nagarjuna University
NETL
NSTL
